Implementing ModernStats Standards Linked Open Metadata Direct Result of Sprint Franck Cotton, Insee Monica Scannapieco, Istat

Implementing ModernStats Standards Project proposed by the MC on Products and Sources at HLG Workshop on November 2015 Launched in 2016 with three workpackages WP1 Classifications and Vocabularies Linked Open Metadata WP2 Models and Services WP3 Maturity Model and Roadmap

Linked Open Metadata: Objectives Building proofs to show the value of Linked metadata Complete IT systems implementing significant use cases Learn by doing Design Guidelines Feasibility of application of Linked metadata to statistical domain Evaluation and sustainability plans

Linked Open Metadata: What OWL Semantic Web technologies OFFICIAL

Linked Open Metadata: Why Insee LOD Portal: http://rdf.insee.fr/sparql Comparable and interoperable statistics OWL Istat LOD Portal: http://datiopen.istat.it Japan e-Stats LOD Portal:http://data.e-stat.go.jp/lodw/

Project Workflow and Milestones Set up of sandbox technological environment Sharing of initial design guidelines RDF artefacts database: setup and integration Sprint in Rome to finalize results SemStats workshop to communicate results Jan-Feb March-April May-August September October

Rome Linked Open Metadata Sprint Duration: 3 days, 12-14 September 2016 Participants: 15 Organizations: Physical participation: Istat, Insee, CBS, Eurostat, UNECE Virtual participation: Mexico Location: SAPIENZA - University of Rome (neutral) Sprint type: Agile/SCRUM development (Sprint Master:Taeke Gjaltema) Hard programming… …but also blackboard thinking!

Project Outputs: RDF Artifacts Classifications UN classifications (with history): ISIC and CPC Eurostat classifications (with history): NACE and CPA National classifications: NAICS, Ateco, NAF and CPF Correspondence Tables SDMX measure_unit code list Ontologies: GSIM, CSPA, GSBPM Data on CSPA services RDF Triple Store (Stardog) on the Sandbox

Project Outputs: Web clients Awarded by Oracle at SemStats 2016 Best Challenge Classification Explorer Browsing Cross-Navigation btw classifications Searching/Exporting RDF Triple Store (Stardog) on the Sandbox Model Explorer Browsing Cross-Navigation btw models Edit CSPA services

Project Outputs: reporting for design, communication, sustainability Design Guidelines How to model and implement Linked data classifications Two papers at SemStats 2016 (reviewed by Academic and Official statistics representatives) An OWL Ontology for the Common Statistical Production Architecture by A.Dreyer, F.Cotton, G.Duffès An OWL Ontology for the Generic Statistical Information Model (GSIM): Design and Implementation by A.Dreyer, G.Duffès, D.Gillman, M. Scannapieco, L. Tosco Recommendations for projects results’ sustainability

DETAILS ON WORKPACKAGES Franck Cotton

Project Follow-Up (1) Issue 1: Maintainance of project artefacts RDF Classifications and correspondence tables GSIM, GSBPM, CSPA ontologies Data on CSPA services How to solve Issue 1: suggestions Sandbox platform could remain accessible until new facilities for sharing RDF artefacts are available HLG involvement, e.g. through the Supporting Standards group and the Sharing tools group Coordination with Eurostat DIGICOM project

Project Follow-Up (2) Issue 2: Extending the work on design guidelines How to solve Issue 2: suggestions HLG involvement, e.g. through the Supporting Standards group and the Sharing tools group Coordination with Eurostat DIGICOM project European ISA2 program (SEMIC - Semantics Interoperability Community) The ISA² programme supports the development of digital solutions that enable public administrations, businesses and citizens in Europe to benefit from interoperable cross-border and cross-sector public services. ISA² will run from 1 January 2016 until 31 December 2020.

Project Follow-Up (3) Details on project resources Main contribution for manpower by Insee and Istat Both technical management and implementation Contributions by CBS, Eurostat and UNECE at the Rome sprint Organizational aspects (Webex organization and reporting) by UNECE Sandbox fee

Wrapping-up: Advantages Statistical artefacts represented as Linked data have several advantages Defined once for all and shared for actual semantic interoperability Structure and content harmonization «Is the definition of the Business Process concept consistent and complete among GSIM, GSBPM and CSPA?» Correctness (consistency and completeness) checks: Formal representation of statistical metadata and models World wide technological standards Tools available off-the-shelf, technology independence, etc.

Final Remarks (1) However, besides the shown and discussed advantages, there are some risks involved by the adoption of the linked data paradigm: Dedicated technological stack and specific skills needed Technological standards still keep on (slowly) changing: changes in versions, performance issue, etc. A question could be: We are talking about metadata harmonization and sharing since many years, even decades, so… what’s new now?

Technology as an enabler Consolidate metadata management experience Final Remarks (2) Technology as an enabler + Consolidate metadata management experience Insee LOD Portal: http://rdf.insee.fr/sparql Japan e-Stats LOD Portal:http://data.e-stat.go.jp/lodw/ Ready to reap the benefits Istat LOD Portal: http://datiopen.istat.it

Thank you for your attention!